Name: Live webinar: Knowledge graph and RAG agent walkthrough
Start: 2026-02-04T16:00:00Z
End: 2026-02-04T17:00:00Z

**Please note - to reserve a spot for this webinar you must register at: [https://sdb.li/45PZ2y0](https://sdb.li/45PZ2y0)**
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**Webinar: Knowledge graph and RAG agent walkthrough**

In this live webinar, Martin Schaer shows a simple knowledge graph example using SurrealDB and Pydantic AI. Expect code, and a clear approach to typed querying and observability without piling on abstraction.

In this session you'll learn:

* Generating the knowledge graph from unstructured data
* How to get a Pydantic AI agent retrieve data from a SurrealDB knowledge graph
* Full-stack observability (agent tool usage, LLM calls, SurrealDB queries)

**Speaker**

**Martin Schaer**
Solutions Engineer, SurrealDB

Martin is a computer science engineer at SurrealDB. He previously worked in lab automation designing a declarative framework for instrument drivers and a 3D visualiser for testing robotic transport solutions. He’s also built products across web development, UX, branding, and digital marketing.

**Who's this event for?**
AI engineers building agents with knowledge graphs, or anyone who wants retrieval you can reason about (and debug) in production.

SurrealDB London

SurrealDB

Technology

Database Professionals

Database Development

Data Management

AI/ML

Artificial Intelligence Programming

Artificial Intelligence Applications

Artificial Intelligence

Martin is a computer science engineer at SurrealDB. He previously worked in lab automation designing a declarative framework for instrument drivers and a 3D visualiser for testing robotic transport solutions. He’s also built products across web development, UX, branding, and digital marketing.

Martin Schaer

Live webinar: Knowledge graph and RAG agent walkthrough

Graph Databases

Software Engineering

Online event

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SurrealDB London

Live webinar: Knowledge graph and RAG agent walkthrough

SurrealDB London

Details

Please note - to reserve a spot for this webinar you must register at: https://sdb.li/45PZ2y0

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